Skip to Main content Skip to Navigation
Journal articles

A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.

Abstract : VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping of its icons to the terms of these terminologies. Here, we present and evaluate a semi-automatic semantic method for the mapping of SNOMED CT concepts to VCM icons. Both SNOMED CT and VCM are compositional in nature; SNOMED CT is expressed in description logic and VCM semantics are formalized in an OWL ontology. The proposed method involves the manual mapping of a limited number of underlying concepts from the VCM ontology, followed by automatic generation of the rest of the mapping. We applied this method to the clinical findings of the SNOMED CT CORE subset, and 100 randomly-selected mappings were evaluated by three experts. The results obtained were promising, with 82 of the SNOMED CT concepts correctly linked to VCM icons according to the experts. Most of the errors were easy to fix.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00912881
Contributor : Jean-Baptiste Lamy Connect in order to contact the contributor
Submitted on : Monday, December 2, 2013 - 5:46:18 PM
Last modification on : Monday, February 7, 2022 - 2:40:02 PM
Long-term archiving on: : Monday, March 3, 2014 - 9:06:14 PM

Files

medinfo2013.pdf
Files produced by the author(s)

Identifiers

Citation

Jean-Baptiste Lamy, Rosy Tsopra, Alain Venot, Catherine Duclos. A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.. Studies in Health Technology and Informatics, IOS Press, 2013, 192, pp.42-6. ⟨hal-00912881⟩

Share

Metrics

Record views

89

Files downloads

628